{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "227e221d-cb4c-4b52-9c4f-2bcff51b00a5",
   "metadata": {},
   "source": [
    "# This exercise is to test and try generating images using gpt. Note: This API is more expensive."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dddabc12-ce06-45c1-875c-ab7e32b94e10",
   "metadata": {},
   "outputs": [],
   "source": [
    "# imports\n",
    "\n",
    "import os\n",
    "import requests\n",
    "from dotenv import load_dotenv\n",
    "from IPython.display import Markdown, display\n",
    "from openai import OpenAI\n",
    "\n",
    "# If you get an error running this cell, then please head over to the troubleshooting notebook!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ef28b0bd-f11f-4b2a-88b4-112f932c9132",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load environment variables in a file called .env\n",
    "\n",
    "load_dotenv(override=True)\n",
    "api_key = os.getenv('OPENAI_API_KEY')\n",
    "\n",
    "# Check the key\n",
    "\n",
    "if not api_key:\n",
    "    print(\"No API key was found - please head over to the troubleshooting notebook in this folder to identify & fix!\")\n",
    "elif not api_key.startswith(\"sk-proj-\"):\n",
    "    print(\"An API key was found, but it doesn't start sk-proj-; please check you're using the right key - see troubleshooting notebook\")\n",
    "elif api_key.strip() != api_key:\n",
    "    print(\"An API key was found, but it looks like it might have space or tab characters at the start or end - please remove them - see troubleshooting notebook\")\n",
    "else:\n",
    "    print(\"API key found and looks good so far!\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d8f1af3b-c748-41f0-95f3-e21f512e7539",
   "metadata": {},
   "outputs": [],
   "source": [
    "openai = OpenAI()\n",
    "\n",
    "# If this doesn't work, try Kernel menu >> Restart Kernel and Clear Outputs Of All Cells, then run the cells from the top of this notebook down.\n",
    "# If it STILL doesn't work (horrors!) then please see the Troubleshooting notebook in this folder for full instructions"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2319710e-10a4-4964-acec-276ad43442c0",
   "metadata": {},
   "source": [
    "# Setup done. Below code is for image generation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "77d07d13-b2d0-4402-94a6-02a46632ac8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "pip show openai"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1b28e163-7518-4b18-b1a7-c6a6f5b7f62c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# client = openai.OpenAI()\n",
    "\n",
    "response = openai.images.generate(\n",
    "    model=\"gpt-image-1\",  # or \"dall-e-2\"\n",
    "    prompt=\"realistic peaceful sunset\",\n",
    "    size=\"1024x1024\",\n",
    "    quality=\"high\",  # or \"hd\" (for DALL·E 3 only, costs more)\n",
    "    n=1\n",
    ")\n",
    "\n",
    "# image_url = response.data[0].url\n",
    "# print(image_url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b121b843-680f-4abd-9aaa-1b3eb9393541",
   "metadata": {},
   "outputs": [],
   "source": [
    "import base64\n",
    "\n",
    "image_base64 = response.data[0].b64_json\n",
    "image_bytes = base64.b64decode(image_base64)\n",
    "\n",
    "# Save the image to a file\n",
    "with open(\"genimage.png\", \"wb\") as f:\n",
    "    f.write(image_bytes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "75b24ef1-c779-490a-a763-5bb8ede8903b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import Image\n",
    "Image(filename='genimage.png') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b4b6a4a4-88ff-40ea-9434-6a667939d800",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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